globusjournal

The integration of Multi-Agent Systems (MAS) with Digital Twins (DTs) has emerged as a transformative strategy for dynamic scheduling challenges in discrete manufacturing. This review systematically explores architectures, integration factors, technological enablers, and research gaps. Through a comprehensive analysis of 70+ studies from 2016 to 2024, we categorize integration frameworks, compare scheduling strategies, and highlight critical success factors. Findings suggest that interoperability, real-time data synchronization, intelligent agent autonomy, system scalability, and security are decisive in successful MAS-DT deployment. Future pathways for industrial adoption are outlined. This paper offers an advanced synthesis for researchers and practitioners aiming to build intelligent, resilient manufacturing scheduling systems.

Keywords: Digital Twin, Multi-Agent Systems, Dynamic Scheduling, Discrete Manufacturing, Intelligent Manufacturing, Cyber-Physical Systems.